## function (x) 
## {
##     last <- as.integer(substr(x, start = 11, stop = 11))
##     sex <- ifelse(last%%2 == 0, "female", "male")
##     return(sex)
## }
## <bytecode: 0x7fdbe8a8dbe0>
## <environment: namespace:daDoctoR>

## function (cpr) 
## {
##     x <- nchar(as.character(cpr))
##     as.logical(as.integer(substr(cpr, start = x, stop = x))%%2)
## }
## <bytecode: 0x7fdbe8c30e38>
## <environment: namespace:stRoke>

fsd<-sample(c("231045-0637", "010115-4000",
       "0101896000","010189-3000",
       "300450-1030","010150-4021"),
       size = 100,
       replace = T)
microbenchmark::microbenchmark(
  stRoke::cpr_female(fsd),
  daDoctoR::cpr_sex(fsd))

## Unit: microseconds
##                     expr     min       lq     mean   median       uq     max
##  stRoke::cpr_female(fsd) 191.334 192.9590 194.0361 193.6255 194.7505 210.375
##   daDoctoR::cpr_sex(fsd) 198.626 202.2505 208.5969 202.8550 204.1670 676.167
##  neval
##    100
##    100

## function (cpr) 
## {
##     v <- c()
##     for (x in cpr) {
##         if (!substr(x, 7, 7) %in% c("-", ".")) {
##             x <- paste(substr(x, 1, 6), substr(x, 7, 10), collapse = "-")
##         }
##         p1 <- as.integer(substr(x, 1, 1))
##         p2 <- as.integer(substr(x, 2, 2))
##         p3 <- as.integer(substr(x, 3, 3))
##         p4 <- as.integer(substr(x, 4, 4))
##         p5 <- as.integer(substr(x, 5, 5))
##         p6 <- as.integer(substr(x, 6, 6))
##         p7 <- as.integer(substr(x, 8, 8))
##         p8 <- as.integer(substr(x, 9, 9))
##         p9 <- as.integer(substr(x, 10, 10))
##         p10 <- as.integer(substr(x, 11, 11))
##         v <- c(v, ifelse((p1 * 4 + p2 * 3 + p3 * 2 + p4 * 7 + 
##             p5 * 6 + p6 * 5 + p7 * 4 + p8 * 3 + p9 * 2 + p10)%%11 == 
##             0, "valid", "invalid"))
##     }
##     return(v)
## }
## <bytecode: 0x7fdbe88e6fc8>
## <environment: namespace:daDoctoR>

## function (cpr) 
## {
##     message("OBS: according to new description, not all valid CPR numbers apply to this modulus 11 rule. \n    Please refer to: https://cpr.dk/media/12066/personnummeret-i-cpr.pdf")
##     str_length <- nchar(cpr)
##     cpr_short <- paste0(substr(cpr, 1, 6), substr(cpr, str_length - 
##         3, str_length))
##     cpr_matrix <- matrix(as.numeric(unlist(strsplit(cpr_short, 
##         ""))), nrow = 10)
##     test_vector <- c(4, 3, 2, 7, 6, 5, 4, 3, 2, 1)
##     colSums(cpr_matrix * test_vector)%%11 == 0
## }
## <bytecode: 0x7fdbe88fa3c0>
## <environment: namespace:stRoke>

microbenchmark::microbenchmark(
  stRoke::cpr_check(fsd),
  daDoctoR::cpr_check(fsd))

## Unit: milliseconds
##                      expr      min       lq     mean   median       uq      max
##    stRoke::cpr_check(fsd) 1.096084 1.117021 1.154617 1.132563 1.176167 1.412875
##  daDoctoR::cpr_check(fsd) 3.151501 3.194709 3.340673 3.224375 3.263355 6.237667
##  neval
##    100
##    100

cs <- viridis::viridis_pal(alpha = .2, begin = 0, end = 1, direction = 1, option = "D")
p <- plot(eulerr::euler(df|>transmute("General fatigue" = mfi_gen_bin_1,
                           "Decreased wellbeing" = who5_cut_1,
                           "Depressive symptoms" = mdi_bin_1),
           shape="ellipse"),
     quantities = TRUE,
     fill = cs,
     lty = 1:3,
     labels = list(font = 4))

colnames(df)[1:5]<-c("general","physical","mental","motivation","activity")

fs <- list()
ls <- levels(factor(df$sex))
for (i in seq_along(ls)){
  fs[[i]] <- eulerr::euler(df|>filter(sex==ls[i])|>select(1:5),shape="ellipse")
  names(fs)[i]<-ls[i]
  }

ps<-list()

for (i in seq_along(ls)){
  ps[[i]] <- plot(fs[[i]],
     quantities = TRUE,
     fill = cs,
     lty = 1:5,
     labels = list(font = 4))
  names(ps)[i]<-ls[i]
}